Capitals
Home
Roster
Scoring
Salary Cap
Lines
Team Stats
Schedule
Finance
Career Team Stat

Game Center
	Comets 5-1-0, 10pts	9	FINAL	2	Bears 1-1-0, 2pts

Team Stats
W4	Streak	W1
2-1-0	Home Record	1-1-0
3-0-0	Home Record	0-0-0
5-1-0	Last 10 Games	1-1-0
5.83	Goals Per Game	2.00
2.50	Goals Against Per Game	5.00
25.00%	Power Play Percentage	0.00%
87.50%	Penalty Kill Percentage	100.00%

Silver Knights
1-2-1, 3pts

FINAL

Bears
1-1-0, 2pts

Team Stats
OTL1	Streak	W1
1-2-0	Home Record	1-1-0
0-0-1	Home Record	0-0-0
1-2-1	Last 10 Games	1-1-0
2.50	Goals Per Game	2.00
4.50	Goals Against Per Game	5.00
25.00%	Power Play Percentage	0.00%
100.00%	Penalty Kill Percentage	100.00%

Stars
2-2-0, 4pts

2024-10-17

Bears
1-1-0, 2pts

Team Stats
W1	Streak	W1
1-2-0	Home Record	1-1-0
1-0-0	Away Record	0-0-0
2-2-0	Last 10 Games	1-1-0
5.00	Goals Per Game	2.00
4.75	Goals Against Per Game	2.00
33.33%	Power Play Percentage	0.00%
71.43%	Penalty Kill Percentage	100.00%

Bears
1-1-0, 2pts

2024-10-19

Comets
5-1-0, 10pts

Team Stats
W1	Streak	W4
1-1-0	Home Record	2-1-0
0-0-0	Away Record	3-0-0
1-1-0	Last 10 Games	5-1-0
2.00	Goals Per Game	5.83
5.00	Goals Against Per Game	5.83
0.00%	Power Play Percentage	25.00%
100.00%	Penalty Kill Percentage	87.50%

Bears
1-1-0, 2pts

2024-10-22

Phantoms
1-1-1, 3pts

Team Stats
W1	Streak	L1
1-1-0	Home Record	0-0-0
0-0-0	Away Record	1-1-1
1-1-0	Last 10 Games	1-1-1
2.00	Goals Per Game	5.33
5.00	Goals Against Per Game	5.33
0.00%	Power Play Percentage	50.00%
100.00%	Penalty Kill Percentage	0.00%

Team Leaders
	Goals Walker Duehr 2	Assists Walker Duehr 1

	Points Walker Duehr 3	Plus/Minus Benjamin Berard 0

Team Stats
Goals For 4 2.00 GFG	Shots For 66 33.00 Avg	Power Play Percentage 0.0% 0 GF	Offensive Zone Start 39.0%
Goals Against 10 5.00 GAA	Shots Against 81 40.50 Avg	Penalty Kill Percentage 100.0%% 0 GA	Defensive Zone Start 38.0%

Team Info
	General Manager
	Division	Metropolitan Division
	Conference	Eastern Conference
	Captain
	Assistant #1
	Assistant #2
Arena Info
	Capacity	5,000
	Attendance	5,000
	Season Tickets	5,000
Roster Info
	Pro Team	21
	Farm Team	18
	Contract Limit	39 / 55
	Prospects	30

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	#	C	L	R	D	CON	CK	FG	DI	SK	ST	EN	DU	PH	FO	PA	SC	DF	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Walker Duehr	0			X		100.00	72	51	97	78	83	38	55	83	40	74	71	41	77	83	77	0	50	76	0	25	2	783,750$
2	Georgii Merkulov (R)	0	X				100.00	45	64	84	74	76	79	91	79	65	61	68	40	73	25	40	0	50	72	0	22	2	925,000$
3	Joona Koppanen	0		X			100.00	45	62	83	72	75	75	87	77	36	58	67	40	72	25	40	0	50	71	0	25	1	750,000$
4	William Dufour (R)	0	X	X	X		100.00	46	65	82	72	76	81	94	77	36	58	67	40	72	25	40	0	50	71	0	21	1	859,167$
5	Jackson Cates	0	X	X	X		100.00	45	63	84	72	75	76	88	76	65	57	67	40	72	25	40	0	50	70	0	25	2	750,000$
6	Luke Philp	0			X		100.00	45	60	84	71	76	71	82	77	65	57	67	40	72	25	40	0	50	70	0	27	3	806,000$
7	Tanner Fritz	0	X	X	X		100.00	45	64	84	71	75	79	91	76	65	58	66	40	71	25	40	0	50	70	0	31	1	750,000$
8	Matej Pekar (R)	0	X	X	X		100.00	49	37	78	72	77	58	45	77	65	60	66	40	71	25	40	0	50	70	0	23	3	750,000$
9	Jared Davidson (R)	0	X	X	X		100.00	46	49	81	72	76	58	51	77	65	57	67	40	72	25	40	0	50	69	0	20	1	750,000$
10	Josh Lopina (R)	0	X				100.00	45	60	83	71	75	69	80	76	65	56	67	40	72	25	40	0	50	69	0	22	1	925,000$
11	Blake McLaughlin (R)	0		X			100.00	46	42	82	70	75	58	45	75	36	56	66	40	71	25	40	0	50	68	0	23	3	830,725$
12	Josh Bloom (R)	0		X			100.00	44	37	84	70	75	58	45	75	36	56	66	40	71	25	40	0	50	68	0	20	3	836,667$
13	Marc Del Gaizo (R)	0				X	100.00	46	66	83	72	76	83	97	77	36	60	66	51	72	25	40	0	50	75	0	23	1	925,000$
14	Jack Ahcan	0				X	100.00	46	64	82	72	76	80	93	77	36	61	66	50	72	25	40	0	50	75	0	26	1	750,000$
15	Joseph Cecconi	0				X	100.00	47	57	81	71	75	62	72	76	36	57	66	43	71	25	40	0	50	71	0	26	1	750,000$
16	Markus Niemelainen	0				X	100.00	46	48	83	71	75	58	47	76	36	56	66	43	71	25	40	0	50	70	0	25	1	750,000$
17	Aidan Fulp	0				X	100.00	45	55	84	70	75	59	68	75	36	56	66	40	71	25	40	0	50	69	0	23	1	750,000$
18	Chris Jandric	0				X	100.00	48	36	79	70	75	58	45	75	36	55	66	40	71	25	40	0	50	69	0	24	1	750,000$
Scratches
1	Benjamin Berard	0	X	X	X		100.00	45	45	84	71	75	58	45	75	65	56	66	40	71	25	40	0	50	68	0	24	1	750,000$

	TEAM AVERAGE						100.00	47	54	83	72	76	66	70	77	48	58	67	41	72	28	42	0	50	71

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	#	CON	SK	DU	EN	SZ	AG	RB	SC	HS	RT	PH	PS	EX	LD	PO	MO	OV	SP	Age	Contract	Salary
1	Remi Poirier (R)	0	100.00	71	74	83	74	73	70	74	64	68	74	70	25	55	0	50	83	0	21	1	836,667$
2	Cooper Black	0	100.00	55	55	53	55	59	53	55	50	53	65	54	25	55	0	50	62	0	22	1	750,000$
Scratches

	TEAM AVERAGE		100.00	63	65	68	65	66	62	65	57	61	70	62	25	55	0	50	73

Coaches Name	PH	DF	OF	PD	EX	LD	PO	CNT	Age	Contract	Salary

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Player Name	Team Name	POS	GP	G	A	P	+/-	PIM	PIM5	HIT	HTT	SHT	OSB	OSM	SHT%	SB	MP	AMG	PPS	PPM	PKM	GW	FO%	FOT	GA	TA	P/20	FT	S2
1	Walker Duehr	Bears (WAS)	RW	2	2	1	3	-4	0	0	2	5	5	5	3	40.00%	1	42	21.21	0	2	2	1	100.00%	4	3	0	1.41	0	0
2	Luke Philp	Bears (WAS)	RW	2	1	1	2	-2	0	0	2	3	8	2	5	12.50%	1	36	18.28	2	2	0	0	100.00%	3	0	1	1.09	0	0
3	Jackson Cates	Bears (WAS)	C/LW/RW	2	1	0	1	-2	0	0	2	2	7	4	2	14.29%	1	40	20.34	0	2	2	0	50.00%	34	3	0	0.49	0	1
4	Georgii Merkulov	Bears (WAS)	C	2	0	1	1	-3	0	0	3	1	7	2	5	0%	1	31	15.85	0	2	2	0	45.83%	24	3	1	0.63	0	0
5	Joseph Cecconi	Bears (WAS)	D	2	0	1	1	-1	0	0	5	3	6	1	2	0%	3	44	22.22	0	2	3	0	0%	0	1	1	0.45	0	0
6	Josh Lopina	Bears (WAS)	C	2	0	1	1	-1	0	0	2	0	3	1	1	0%	0	18	9.47	0	0	0	0	55.56%	9	2	0	1.06	0	0
7	Tanner Fritz	Bears (WAS)	C/LW/RW	2	0	1	1	-2	5	5	0	3	3	3	2	0%	0	35	17.89	1	2	0	0	0%	1	3	0	0.56	1	0
8	Aidan Fulp	Bears (WAS)	D	2	0	0	0	-3	0	0	3	3	0	0	0	0%	2	29	14.69	0	0	2	0	0%	0	0	0	0	0	0
9	Benjamin Berard	Bears (WAS)	C/LW/RW	1	0	0	0	0	2	0	1	0	0	0	0	0%	0	15	15.35	0	0	0	0	100.00%	1	0	1	0	0	0
10	Blake McLaughlin	Bears (WAS)	LW	2	0	0	0	0	0	0	0	0	0	1	0	0%	1	8	4.38	0	0	0	0	0%	0	0	0	0	0	0
11	Chris Jandric	Bears (WAS)	D	2	0	0	0	-2	0	0	2	0	0	1	0	0%	5	35	17.69	0	0	0	0	0%	0	2	0	0	0	0
12	Jared Davidson	Bears (WAS)	C/LW/RW	2	0	0	0	0	0	0	3	1	4	2	3	0%	2	30	15.19	0	0	0	0	0%	1	2	0	0	0	0
13	Josh Bloom	Bears (WAS)	LW	2	0	0	0	-1	0	0	1	0	0	0	0	0%	1	18	9.25	0	0	0	0	0%	0	1	0	0	0	0
14	Joona Koppanen	Bears (WAS)	LW	2	0	0	0	-4	0	0	4	2	7	2	2	0%	1	31	15.59	0	2	2	0	28.57%	7	4	1	0	0	0
15	William Dufour	Bears (WAS)	C/LW/RW	1	0	0	0	0	0	0	1	2	3	0	1	0%	0	15	15.02	0	0	0	0	100.00%	1	0	0	0	0	0
16	Marc Del Gaizo	Bears (WAS)	D	2	0	0	0	-3	39	15	1	5	1	2	1	0%	8	39	19.56	1	1	1	0	0%	0	0	2	0	3	0
17	Matej Pekar	Bears (WAS)	C/LW/RW	2	0	0	0	0	0	0	1	1	2	1	1	0%	0	30	15.19	0	0	0	0	41.18%	17	0	0	0	0	0
18	Jack Ahcan	Bears (WAS)	D	2	0	0	0	-3	2	0	4	5	6	1	0	0%	7	51	25.57	0	2	1	0	0%	0	2	4	0	0	0
19	Markus Niemelainen	Bears (WAS)	D	2	0	0	0	-1	0	0	4	4	4	2	2	0%	2	41	20.88	1	2	2	0	0%	0	0	2	0	0	0
Team Total or Average				36	4	6	10	-32	48	20	41	40	66	30	30	6.06%	36	596	16.58	5	22	22	1	50.00%	102	26	13	0.34	4	1

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

#	Goalie Name	Team Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA	ST	BG	S1	S2	S3
1	Remi Poirier	Bears (WAS)	2	1	1	0	0.877	4.96	121	0	0	10	81	50	0	0	0	0	2	0	1	0	0
Team Total or Average			2	1	1	0	0.877	4.96	121	0	0	10	81	50	0	0		0	2	0	1	0	0

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Player Name	Team Name	POS	Age	Birthday	Country	Rookie	Weight	Height	No Trade	Available For Trade	Acquired By	Force Waivers	Waiver Possible	Contract	Contract Signature Date	Force UFA	Emergency Recall	Type	Current Salary	Salary Remaining	Salary Cap	Salary Cap Remaining	Exclude from Salary Cap	Salary Year 2	Salary Year 3	Salary Year 4	Salary Year 7	Salary Year 8	Salary Year 9	Salary Year 10	Salary Cap Year 2	Salary Cap Year 3	Salary Cap Year 4	Salary Cap Year 5	Salary Cap Year 6	Salary Cap Year 7	Salary Cap Year 8	Salary Cap Year 9	Salary Cap Year 10	No Trade Year 2	No Trade Year 3	No Trade Year 4	No Trade Year 5	No Trade Year 6	No Trade Year 7	No Trade Year 8	No Trade Year 9	No Trade Year 10	Link
Aidan Fulp	Bears (WAS)	D	23	2000-02-29	USA	No	210 Lbs	6 ft3	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	870,000$	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Benjamin Berard	Bears (WAS)	C/LW/RW	24	1999-02-13	CAN	No	192 Lbs	6 ft0	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Blake McLaughlin	Bears (WAS)	LW	23	2000-02-14	USA	Yes	173 Lbs	6 ft0	No	No	Free Agent	No	No	3	2024-10-07	False	False	Pro & Farm	830,725$	779,864$	0$	0$	No	830,725$	830,725$	Restricted	-	-	-	-	830,725$	830,725$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Chris Jandric	Bears (WAS)	D	24	1998-10-03	CAN	No	181 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Cooper Black	Bears (WAS)	G	22	2001-06-14	USA	No	223 Lbs	6 ft8	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Georgii Merkulov	Bears (WAS)	C	22	2000-10-10	RUS	Yes	176 Lbs	5 ft11	No	No	N/A	No	No	2		False	False	Pro & Farm	925,000$	868,367$	0$	0$	No	925,000$	Restricted		-	-	-	-	925,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jack Ahcan	Bears (WAS)	D	26	1997-05-18	USA	No	180 Lbs	5 ft8	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Jackson Cates	Bears (WAS)	C/LW/RW	25	1997-09-26	USA	No	190 Lbs	6 ft0	No	No	Free Agent	No	No	2	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	750,000$	Unrestricted		-	-	-	-	750,000$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
Jared Davidson	Bears (WAS)	C/LW/RW	20	2002-07-07	CAN	Yes	183 Lbs	6 ft0	No	No	Prospect	No	No	1	2024-07-02	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joona Koppanen	Bears (WAS)	LW	25	1998-02-25	FIN	No	216 Lbs	6 ft5	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Joseph Cecconi	Bears (WAS)	D	26	1997-05-23	USA	No	210 Lbs	6 ft3	No	No	N/A	No	No	1		False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Josh Bloom	Bears (WAS)	LW	20	2003-06-08	CAN	Yes	182 Lbs	6 ft2	No	No	Prospect	No	No	3	2024-07-02	False	False	Pro & Farm	836,667$	785,442$	0$	0$	No	836,667$	836,667$	Restricted	-	-	-	-	836,667$	836,667$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Josh Lopina	Bears (WAS)	C	22	2001-02-16	USA	Yes	199 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	925,000$	868,367$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Luke Philp	Bears (WAS)	RW	27	1995-11-06	CAN	No	181 Lbs	5 ft10	No	No	Free Agent	No	No	3	2024-10-07	False	False	Pro & Farm	806,000$	756,653$	0$	0$	No	806,000$	806,000$	Unrestricted	-	-	-	-	806,000$	806,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Marc Del Gaizo	Bears (WAS)	D	23	1999-10-11	USA	Yes	188 Lbs	5 ft11	No	No	N/A	No	No	1		False	False	Farm Only	925,000$	868,367$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Markus Niemelainen	Bears (WAS)	D	25	1998-06-08	FIN	No	190 Lbs	6 ft6	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Matej Pekar	Bears (WAS)	C/LW/RW	23	2000-02-10	CZE	Yes	185 Lbs	6 ft1	No	No	Free Agent	No	No	3	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	750,000$	750,000$	Restricted	-	-	-	-	750,000$	750,000$	-	-	-	-	-	-	-	No	No	-	-	-	-	-	-	-	Link / NHL Link
Remi Poirier	Bears (WAS)	G	21	2001-10-06	CAN	Yes	210 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	836,667$	785,442$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Tanner Fritz	Bears (WAS)	C/LW/RW	31	1991-08-20	CAN	No	192 Lbs	5 ft11	No	No	Free Agent	No	No	1	2024-10-07	False	False	Pro & Farm	750,000$	704,082$	0$	0$	No	Unrestricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link
Walker Duehr	Bears (WAS)	RW	25	1997-11-23	USA	No	210 Lbs	6 ft2	No	No	Free Agent	No	No	2	2024-10-07	False	False	Pro & Farm	783,750$	735,765$	0$	0$	No	783,750$	Restricted		-	-	-	-	783,750$	-	-	-	-	-	-	-	-	No	-	-	-	-	-	-	-	-	Link / NHL Link
William Dufour	Bears (WAS)	C/LW/RW	21	2002-01-28	CAN	Yes	215 Lbs	6 ft2	No	No	N/A	No	No	1		False	False	Pro & Farm	859,167$	806,565$	0$	0$	No	Restricted			-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-	Link / NHL Link

Total Players	Average Age	Average Weight	Average Height	Average Contract	Average Year 1 Salary
21	23.71	195 Lbs	6 ft1	1.52	796,570$

5 vs 5 Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joona Koppanen	Georgii Merkulov	Walker Duehr	30	1	2	2
2	Tanner Fritz	Jackson Cates	Luke Philp	30	1	2	2
3	Jared Davidson	Matej Pekar	William Dufour	20	1	2	2
4	Josh Bloom	Josh Lopina	Walker Duehr	20	1	2	2

5 vs 5 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Jack Ahcan	30	1	2	2
2	Joseph Cecconi	Markus Niemelainen	30	1	2	2
3	Chris Jandric	Aidan Fulp	20	1	2	2
4	Marc Del Gaizo	Jack Ahcan	20	1	2	2

Power Play Forward
Line #	Left Wing	Center	Right Wing	Time %	PHY	DF	OF
1	Joona Koppanen	Georgii Merkulov	Walker Duehr	50	1	2	2
2	Tanner Fritz	Jackson Cates	Luke Philp	50	1	2	2

Power Play Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Jack Ahcan	50	1	2	2
2	Joseph Cecconi	Markus Niemelainen	50	1	2	2

Penalty Kill 4 Players Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Walker Duehr	Georgii Merkulov	50	1	2	2
2	Joona Koppanen	Jackson Cates	50	1	2	2

Penalty Kill 4 Players Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Jack Ahcan	50	1	2	2
2	Joseph Cecconi	Markus Niemelainen	50	1	2	2

Penalty Kill 3 Players
Line #	Wing	Time %	PHY	DF	OF	Defense	Defense	Time %	PHY	DF	OF
1	Walker Duehr	50	1	2	2	Marc Del Gaizo	Jack Ahcan	50	1	2	2
2	Georgii Merkulov	50	1	2	2	Joseph Cecconi	Markus Niemelainen	50	1	2	2

4 vs 4 Forward
Line #	Center	Wing	Time %	PHY	DF	OF
1	Walker Duehr	Georgii Merkulov	50	1	2	2
2	Joona Koppanen	Jackson Cates	50	1	2	2

4 vs 4 Defense
Line #	Defense	Defense	Time %	PHY	DF	OF
1	Marc Del Gaizo	Jack Ahcan	50	1	2	2
2	Joseph Cecconi	Markus Niemelainen	50	1	2	2

Last Minutes Offensive
Left Wing	Center	Right Wing	Defense	Defense
Joona Koppanen	Georgii Merkulov	Walker Duehr	Marc Del Gaizo	Jack Ahcan

Last Minutes Defensive
Left Wing	Center	Right Wing	Defense	Defense
Joona Koppanen	Georgii Merkulov	Walker Duehr	Marc Del Gaizo	Jack Ahcan

Extra Forwards
Normal	PowerPlay	Penalty Kill
Blake McLaughlin, Matej Pekar, Josh Lopina	Blake McLaughlin, Matej Pekar	Josh Lopina

Extra Defensemen
Normal	PowerPlay	Penalty Kill
Chris Jandric, Aidan Fulp, Joseph Cecconi	Chris Jandric	Aidan Fulp, Joseph Cecconi

Penalty Shots
Walker Duehr, Georgii Merkulov, Joona Koppanen, Jackson Cates, Luke Philp

Goalie
#1 : Remi Poirier, #2 : Cooper Black

Custom OT Lines Forwards
Walker Duehr, Georgii Merkulov, Joona Koppanen, Jackson Cates, Luke Philp, Tanner Fritz, Tanner Fritz, Matej Pekar, Josh Lopina, Jared Davidson, Josh Bloom

Custom OT Lines Defensemen
Marc Del Gaizo, Jack Ahcan, Joseph Cecconi, Markus Niemelainen, Chris Jandric

Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

	Overall												Home											Visitor
#	VS Team	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	PCT	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT
1	Comets	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	1	1	30	14	31	18	3	41	14	29	22	2	0	0.00%	2	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14
2	Silver Knights	1	0	0	0	1	0	0	0	2	1	1	1	0	0	0	1	0	0	0	2	1	1	0	0	0	0	0	0	0	0	0	0	0	2	1.000	2	2	4	0	0	1	1	1	1	36	14	31	18	3	40	22	19	19	1	0	0.00%	2	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14
	Total	2	0	1	0	1	0	0	0	4	10	-6	2	0	1	0	1	0	0	0	4	10	-6	0	0	0	0	0	0	0	0	0	0	0	2	0.500	4	6	10	0	0	1	1	1	1	66	14	31	18	3	81	36	48	41	3	0	0.00%	4	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14
	_Since Last GM Reset	2	0	1	0	1	0	0	0	4	10	-6	2	0	1	0	1	0	0	0	4	10	-6	0	0	0	0	0	0	0	0	0	0	0	2	0.500	4	6	10	0	0	1	1	1	1	66	14	31	18	3	81	36	48	41	3	0	0.00%	4	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14
	_Vs Conference	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	1	1	30	14	31	18	3	41	14	29	22	2	0	0.00%	2	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14
	_Vs Division	1	0	1	0	0	0	0	0	2	9	-7	1	0	1	0	0	0	0	0	2	9	-7	0	0	0	0	0	0	0	0	0	0	0	0	0.000	2	4	6	0	0	1	1	1	1	30	14	31	18	3	41	14	29	22	2	0	0.00%	2	0	100.00%	0	23	39	58.97%	16	38	42.11%	12	23	52.17%	43	28	46	13	30	14

			Total For Players
Games Played	Points	Streak	Goals	Assists	Points	Shots For	Shots Against	Shots Blocked	Penalty Minutes	Hits	Empty Net Goals	Shutouts
2	2	W1	4	6	10	66	81	36	48	41	0	0

All Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	1	0	0	0	4	10

Home Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
2	0	1	1	0	0	0	4	10

Visitor Games
GP	W	L	OTW	OTL	SOW	SOL	GF	GA
0	0	0	0	0	0	0	0	0

Last 10 Games
W	L	OTW	OTL	SOW	SOL
1	1	0	0	0	0

Power Play Attemps	Power Play Goals	Power Play %	Penalty Kill Attemps	Penalty Kill Goals Against	Penalty Kill %	Penalty Kill Goals For
3	0	0.00%	4	0	100.00%	0

Shots 1 Period	Shots 2 Period	Shots 3 Period	Shots 4+ Period	Goals 1 Period	Goals 2 Period	Goals 3 Period	Goals 4+ Period
14	31	18	3	1	1	1	1

Face Offs
Won Offensive Zone	Total Offensive	Won Offensive %	Won Defensif Zone	Total Defensive	Won Defensive %	Won Neutral Zone	Total Neutral	Won Neutral %
23	39	58.97%	16	38	42.11%	12	23	52.17%

Puck Time
In Offensive Zone	Control In Offensive Zone	In Defensive Zone	Control In Defensive Zone	In Neutral Zone	Control In Neutral Zone
43	28	46	13	30	14

Last Played Games Show or Hide Columns

Filter Tips

Priority	Type	Description
1	`\|` or `OR`	Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2	`&&` or `AND`	Logical "and". Filter the column for content that matches text from either side of the operator.
3	`/\d/`	Add any regex to the query to use in the query ("mig" flags can be included `/\w/mig`)
4	`< <= >= >`	Find alphabetical or numerical values less than or greater than or equal to the filtered query
5	`!` or `!=`	Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (`=`), single (`'`) or double quote (`"`) to exactly not match a filter.
6	`"` or `=`	To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7	`-` or `to`	Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8	`?`	Wildcard for a single, non-space character.
8	`*`	Wildcard for zero or more non-space characters.
9	`~`	Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10	text	Any text entered in the filter will match text found within the column

Day	Game	Visitor	Score	Home	Score	ST	OT	Link
9 - 2024-10-12	31	Comets	9	Bears	2	L		BoxScore
12 - 2024-10-15	49	Silver Knights	1	Bears	2	W	X	BoxScore
14 - 2024-10-17	66	Stars	-	Bears	-
16 - 2024-10-19	80	Bears	-	Comets	-
19 - 2024-10-22	92	Bears	-	Phantoms	-
20 - 2024-10-23	108	Phantoms	-	Bears	-
23 - 2024-10-26	127	Bears	-	Crunch	-
26 - 2024-10-29	151	Wolf Pack	-	Bears	-
28 - 2024-10-31	164	Rocket	-	Bears	-
30 - 2024-11-02	177	Monsters	-	Bears	-
31 - 2024-11-03	188	Bears	-	Wolves	-
34 - 2024-11-06	205	Admirals	-	Bears	-
36 - 2024-11-08	221	Penguins	-	Bears	-
37 - 2024-11-09	229	Bears	-	Thunderbirds	-
41 - 2024-11-13	253	Marlies	-	Bears	-
43 - 2024-11-15	268	Bears	-	Eagles	-
45 - 2024-11-17	286	Bears	-	Silver Knights	-
46 - 2024-11-18	292	Bears	-	Roadrunners	-
49 - 2024-11-21	310	Eagles	-	Bears	-
51 - 2024-11-23	327	Comets	-	Bears	-
53 - 2024-11-25	335	Bears	-	Checkers	-
55 - 2024-11-27	351	Bears	-	Crunch	-
57 - 2024-11-29	366	Islanders	-	Bears	-
58 - 2024-11-30	379	Bears	-	Comets	-
61 - 2024-12-03	400	Barracuda	-	Bears	-
64 - 2024-12-06	419	Bears	-	Marlies	-
65 - 2024-12-07	430	Bears	-	Rocket	-
70 - 2024-12-12	463	Bears	-	Monsters	-
72 - 2024-12-14	480	Americans	-	Bears	-
74 - 2024-12-16	494	Bears	-	Stars	-
75 - 2024-12-17	503	Bears	-	IceHogs	-
78 - 2024-12-20	524	Wolves	-	Bears	-
80 - 2024-12-22	541	Reign	-	Bears	-
81 - 2024-12-23	547	Bears	-	Bruins	-
86 - 2024-12-28	571	Bears	-	Marlies	-
87 - 2024-12-29	579	Bears	-	Griffins	-
89 - 2024-12-31	589	Bruins	-	Bears	-
91 - 2025-01-02	605	Wild	-	Bears	-
93 - 2025-01-04	620	Wolf Pack	-	Bears	-
95 - 2025-01-06	637	Bears	-	Americans	-
97 - 2025-01-08	650	Canucks	-	Bears	-
99 - 2025-01-10	665	Rocket	-	Bears	-
100 - 2025-01-11	679	Bears	-	Admirals	-
103 - 2025-01-14	697	Gulls	-	Bears	-
105 - 2025-01-16	708	Bears	-	Senators	-
107 - 2025-01-18	729	Penguins	-	Bears	-
110 - 2025-01-21	754	Bears	-	Condors	-
112 - 2025-01-23	770	Bears	-	Firebirds	-
114 - 2025-01-25	786	Bears	-	Canucks	-
117 - 2025-01-28	804	Bears	-	Wranglers	-
119 - 2025-01-30	814	Bears	-	Senators	-
121 - 2025-02-01	831	Moose	-	Bears	-
124 - 2025-02-04	849	Checkers	-	Bears	-
126 - 2025-02-06	864	Bears	-	Phantoms	-
129 - 2025-02-09	890	Roadrunners	-	Bears	-
142 - 2025-02-22	893	Bears	-	Penguins	-
143 - 2025-02-23	906	Condors	-	Bears	-
145 - 2025-02-25	923	Wranglers	-	Bears	-
147 - 2025-02-27	939	Thunderbirds	-	Bears	-
149 - 2025-03-01	950	Crunch	-	Bears	-
151 - 2025-03-03	967	Senators	-	Bears	-
153 - 2025-03-05	983	Bears	-	Wolf Pack	-
155 - 2025-03-07	998	Griffins	-	Bears	-
157 - 2025-03-09	1014	Firebirds	-	Bears	-
159 - 2025-03-11	1033	Bears	-	Gulls	-
161 - 2025-03-13	1047	Bears	-	Reign	-
163 - 2025-03-15	1057	Bears	-	Barracuda	-
166 - 2025-03-18	1081	Griffins	-	Bears	-
168 - 2025-03-20	1092	Phantoms	-	Bears	-
170 - 2025-03-22	1110	Checkers	-	Bears	-
173 - 2025-03-25	1135	Bears	-	Moose	-
175 - 2025-03-27	1148	Bears	-	Wild	-
178 - 2025-03-30	1171	Americans	-	Bears	-
180 - 2025-04-01	1182	Bears	-	Bruins	-
181 - 2025-04-02	1193	Bears	-	Wolves	-
183 - 2025-04-04	1207	IceHogs	-	Bears	-
185 - 2025-04-06	1222	Bears	-	Islanders	-
189 - 2025-04-10	1252	Wolves	-	Bears	-
191 - 2025-04-12	1270	Bears	-	Monsters	-
192 - 2025-04-13	1281	Monsters	-	Bears	-
194 - 2025-04-15	1296	Bears	-	Islanders	-
196 - 2025-04-17	1311	Bears	-	Penguins	-

Arena Capacity - Ticket Price Attendance - %
	Level 1	Level 2
Capacity	3500	1500
Ticket Price	50	25
Attendance	7,000	3,000
Attendance PCT	100.00%	100.00%

Income
Home Games Left	Average Attendance - %	Average Income per Game	Year to Date Revenue	Capacity	Team Popularity
39	5000 - 100.00%	108,375$	216,750$	5000	100

Expenses
Year To Date Expenses	Players Total Salaries	Players Total Salaries Cap	Coaches Salaries
845,355$	16,727,976$	16,727,976$	0$

Salary Cap Per Days	Salary Cap To Date	Players In Salary Cap	Players Out of Salary Cap
85,347$	845,355$	0	0

Estimate
Estimated Season Revenue	Remaining Season Days	Expenses Per Days	Estimated Season Expenses
4,226,625$	184	85,347$	15,703,848$

Bears Players Stat Leaders (Regular Season)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Bears Goalies Stat Leaders (Regular Season)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

Bears Career Team Stats

Show or Hide Columns

	Overall											Home											Visitor
Year	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	GP	W	L	T	OTW	OTL	SOW	SOL	GF	GA	Diff	P	G	A	TP	SO	EG	GP1	GP2	GP3	GP4	SHF	SH1	SP2	SP3	SP4	SHA	SHB	Pim	Hit	PPA	PPG	PP%	PKA	PK GA	PK%	PK GF	W OF FO	T OF FO	OF FO%	W DF FO	T DF FO	DF FO%	W NT FO	T NT FO	NT FO%	PZ DF	PZ OF	PZ NT	PC DF	PC OF	PC NT

Bears Players Stat Leaders (Play-Off)

Show or Hide Columns

#	Player Name	GP	G	A	P	+/-	PIM	HIT	HTT	SHT	SHT%	SB	MP	AMG	PPG	PPA	PPP	PPS	PKG	PKA	PKP	PKS	GW	GT	FO%	HT	P/20	PSG	PSS

Bears Goalies Stat Leaders (Play-Off)

Show or Hide Columns

#	Goalie Name	GP	W	L	OTL	PCT	GAA	MP	PIM	SO	GA	SA	SAR	A	EG	PS %	PSA

	Bears
	GP: 2 \| W: 1 \| L: 1 \| OTL: 0 \| P: 2 GF: 4 \| GA: 10 \| PP%: 0.00% \| PK%: 100.00% GM : \| Morale : 50 \| Team Overall : 71 Next Games #66 vs Stars